A Distributional Regression Network With Data Transformation for Calibrating Rainfall Forecasts
Abstract Machine learning methods provide a promising approach for exploiting relationships between raw forecasts and observations for forecast calibration. This paper highlights the role of data transformation in rainfall forecast calibration with neural networks. We develop a distributional regres...
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| Main Authors: | Zeqing Huang, Andrew Schepen, James C. Bennett, David E. Robertson, Tongtiegang Zhao, Eun‐Soon Im, Quan J. Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025JH000635 |
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